The Most Interesting Thing in AI

2026 could be called the year of AI doom. Agents are hacking into websites and communicating covertly, and researchers like Jacob Coxon are quitting their jobs and posting publicly about the risks of the technology they helped build. Discussion around the hazards AI poses to humanity has reached a fever pitch. Nate Soares saw this coming. For over a decade, Soares, a writer and president of the Machine Intelligence Research Institute, has warned of the threat posed by superintelligence. The title of his book, co-authored with safety researcher Eliezer Yudkowsky, doesn't mince words: If Anyone Builds It, Everyone Dies. In conversation with Nicholas Thompson, CEO of The Atlantic, Soares details why this moment is so urgent, the ways in which the technology could drive humanity to extinction, and how the Hugging Face hack gave him “a lot of hope” that we can avoid such an outcome. Produced independently of The Atlantic’s editorial staff. (00:00) Introduction   (03:21) How the path to extinction might start (10:34) What AI Armageddon would actually look like   (18:42) How likely it is that humanity survives another decade   (29:00) Why AI wouldn’t need robots to wipe us out   (38:36) Preventing the apocalypse   (45:52) The ethics of airstrikes on data centers   (54:24) What worried AI researchers should do   (58:14) The risks of nationalization versus the dangers of open-source models   (01:08:21) Why the Hugging Face incident gave Nate hope   (01:13:24) What Nate would do if he had an unlimited budget to invest in AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

If you want AI to drive your car or simulate a cell or control a robot, it had better be able to understand the world it’s operating within. Eric Xing is one of the leading researchers working on this kind of AI, known as ‘world models.’ Unlike LLMs, which are trained largely on text data and predict the next token, world models aim to understand and simulate physical environments using multimodal data. Xing found his way to the field after a long trek through prestigious institutions, studying cancer before transitioning to machine learning. Now, as the president of Mohamed bin Zayed University of Artificial Intelligence in the United Arab Emirates, he’s helping to train a generation of AI builders.  In conversation with Nicholas Thompson, CEO of The Atlantic, Eric discusses how his unusual career trajectory prepared him to work in the AI industry, what people misunderstand about the US-China arms race, and how the war in Iran has impacted his work in the region. Produced independently of The Atlantic’s editorial staff. (0:00) Introduction (02:03) Lessons on survival from a mountaineering expedition gone wrong  (04:48) Eric’s winding path from physics to biology to computer science (11:56) Balancing academia and business: raising $100M and founding an AI company (19:41) The limits of large language models (26:43) Using world models to simulate biology (36:30) Revolutionizing drug discovery with digital organisms (43:10) Why Eric refused to sign an AI safety letter  (49:37) Debunking existential risk narratives: the difference between a blueprint and a weapon (57:40) Why Eric is a “true believer” in open-source AI (1:05:37) How the Iran War has impacted AI in the UAE (1:11:18) What Eric would do if he had an unlimited budget to invest in AI Learn more about your ad choices. Visit podcastchoices.com/adchoices

Among the many eye-popping numbers of the AI industry—from trillions in investments to billions in spending—one stands out: $0 in profit among leading AI companies. According to Bloomberg, “never before has so much money been spent so rapidly on a technology that, for all its potential, remains largely unproven as an avenue for profit-making.” That imbalance, and the industry’s reliance on circular financing, has led to fears of a bubble. But those concerns are overblown, according to Azeem Azhar, author of the Exponential View newsletter, who earlier this year released a report on the AI economy. In conversation with Nicholas Thompson, CEO of The Atlantic, Azhar expands on his findings. He says AI’s finances are sound: the demand is there, revenue is growing, and the technology will advance enough to deliver on the necessary ROI. Produced independently of The Atlantic’s editorial staff. Supporting sponsor: PwC. (00:00) Introduction (03:40) Mapping the AI economy through forensic accounting (07:50) How to think about infrastructure spend  (16:30) The "J-curve" of AI adoption (24:00) How cheaper tokens will change the market  (27:17) China's AI strategy (40:22) Is there something that could break Azeem’s model?  (48:34) What could happen when the AI firms IPO  (53:34) The effects of the culture in Silicon Valley  (56:34) Which bubble-breaker scenario worries Azeem the most (59:16) What Azeem would do if he had an unlimited budget to invest in AI Learn more about your ad choices. Visit podcastchoices.com/adchoices